The Enterprise Data Management Operations group is responsible for effective and consistent Data Management of the bank’s data which is deemed critical: Used in external reporting, used to continuously provide information to the bank’s board, and data whose deficiency can cause financial loss/severe Impact to the customer.
Enterprise Data Management Program Case Study
The centralized Enterprise Data Management Operations group performs activities required to provide effective control of the data which is deemed critical to the bank.
Phyton delivered the following Data Management Operations and Data Governance work streams:
Data Lineage – Work closely with the different business functions in order to capture the Critical Data Elements (CDEs) used in their end-user processes; Then work with the upstream data providers to capture the data lineage from downstream back to inception; Identify the CDEs’ Business and IT data owners throughout the data lineage chain.
Data Quality Profiling – Lead data quality workshops to recommend and capture business rules for the identified CDEs.
Data Quality Monitoring – Track and monitor the data quality issues that are discovered and provide status to senior management.
Data Quality Issue Remediation – Once data quality issues are discovered, 1) Work with downstream business end-users in order to provide Tactical data quality remediation; 2) Work with upstream source systems’ Operations and IT in order to provide Strategic data quality remediation work effort analysis, monitor progress and report status to senior management.
Data Governance – Creation of Policies & Procedures and the adoption and training across the CDO function and the business
Business Glossary Creation and Tooling, Meta Data Management strategy, Data dictionary
Risk & Control Assessments
DM and DG Tools – Selection and implementation
Phyton Consulting’s plan and delivery created a clear
road map and plan for this case.